Deep Learning Datasets Maker is a QGIS plugin to make datasets creation easier for raster and vector data.

Overview

Deep Learning Dataset Maker

Python 3.8 QGIS 3.16.13

Deep Learning Datasets Maker is a QGIS plugin to make datasets creation easier for raster and vector data.

image

How to use

  1. Download and install QGIS and clone the repo :
git clone [email protected]:deepbands/deep-learning-datasets-maker.git
  1. Copy folder named deep-learning-datasets-maker in QGIS configuration folder and choose the plugin from plugin manager in QGIS (If not appeared restart QGIS).

    • You can know this folder from QGIS Setting Menu at the top-left of QGIS UI Settings > User Profiles > Open Active Profile Folder .
    • Go to python/plugins then paste the deep-learning-datasets-maker folder.
    • Full path should be like : C:\Users\$USER\AppData\Roaming\QGIS\QGIS3\profiles\default\python\plugins\deep-learning-datasets-maker.
  2. Open QGIS, load your raster and vector data then select the output paths for rasterized, images and labels then click ok.

TODO

  • Fix: If vector layer saved in memory not in file, rasterize can't work.
  • Fix: Splitiing Image Size.
Comments
  • Error running Quick Queries with QuickOSM recently started on Mac

    Error running Quick Queries with QuickOSM recently started on Mac

    I have been trying to run a query that I have previously had no problem running at all and have run into this error every time. Here are my system specs and whatnot:

    QGIS version | 3.22.4-Białowieża QGIS code revision 3f4577ce6e Qt version | 5.14.2 Python version | 3.8.7 GDAL/OGR version | 3.2.1 PROJ version | 6.3.2 EPSG Registry database version | v9.8.6 (2020-01-22) GEOS version | 3.9.1-CAPI-1.14.2 SQLite version | 3.31.1 PostgreSQL client version | 12.3 SpatiaLite version | 4.3.0a QWT version | 6.1.4 QScintilla2 version | 2.11.4 OS version | macOS 11.0

    Active Python plugins DigitizingTools | 1.5.1 QuickOSM | 2.0.1 quick_map_services | 0.19.29 usgs_stream_mapper | 0.2 sagaprovider | 2.12.99 grassprovider | 2.12.99 db_manager | 0.1.20 MetaSearch | 0.3.5

    And this is the dialogue from the QuickOSM Panel

    2022-03-19T18:47:06     INFO    All OSM objects with the key 'natural'='water' in the canvas or layer extent are going to be downloaded.
    2022-03-19T18:47:06     INFO    Query: natural_water
    2022-03-19T18:47:06     INFO    Encoded URL: https://lz4.overpass-api.de/api/interpreter?data=[out:xml] [timeout:25];%0A(%0A node[%22natural%22%3D%22water%22]( 27.49988,-82.45185,27.55754,-82.35723);%0A way[%22natural%22%3D%22water%22]( 27.49988,-82.45185,27.55754,-82.35723);%0A relation[%22natural%22%3D%22water%22]( 27.49988,-82.45185,27.55754,-82.35723);%0A);%0A(._;%3E;);%0Aout body;&info=QgisQuickOSMPlugin
    2022-03-19T18:47:09     INFO    Request completed
    2022-03-19T18:47:09     INFO    Checking OSM file content /private/var/folders/8s/cldnh_0n2wx39hw880qwh0lh0000gp/T/request-tNoEkc.osm
    2022-03-19T18:47:09     INFO    The OSM file is: /private/var/folders/8s/cldnh_0n2wx39hw880qwh0lh0000gp/T/request-tNoEkc.osm
    2022-03-19T18:47:09     CRITICAL   A critical error occurred, this is the traceback:
    2022-03-19T18:47:09     CRITICAL    
    2022-03-19T18:47:09     CRITICAL    base_processing_panel.py
    2022-03-19T18:47:09     CRITICAL    Error: Algorithm qgis:checkvalidity not found
                 
    2022-03-19T18:47:09     CRITICAL     File "/Users/Cecilia1/Library/Application Support/QGIS/QGIS3/profiles/default/python/plugins/QuickOSM/ui/base_processing_panel.py", line 47, in run
                  self._run()
                 
                  File "/Users/Cecilia1/Library/Application Support/QGIS/QGIS3/profiles/default/python/plugins/QuickOSM/ui/quick_query_panel.py", line 423, in _run
                  num_layers = process_quick_query(
                 
                  File "/Users/Cecilia1/Library/Application Support/QGIS/QGIS3/profiles/default/python/plugins/QuickOSM/core/process.py", line 318, in process_quick_query
                  return process_query(
                 
                  File "/Users/Cecilia1/Library/Application Support/QGIS/QGIS3/profiles/default/python/plugins/QuickOSM/core/process.py", line 257, in process_query
                  return open_file(
                 
                  File "/Users/Cecilia1/Library/Application Support/QGIS/QGIS3/profiles/default/python/plugins/QuickOSM/core/process.py", line 106, in open_file
                  layers = osm_parser.processing_parse()
                 
                  File "/Users/Cecilia1/Library/Application Support/QGIS/QGIS3/profiles/default/python/plugins/QuickOSM/core/parser/osm_parser.py", line 133, in processing_parse
                  validity = processing.run(
                 
                  File "/Applications/QGIS-LTR.app/Contents/MacOS/../Resources/python/plugins/processing/tools/general.py", line 108, in run
                  return Processing.runAlgorithm(algOrName, parameters, onFinish, feedback, context)
                 
                  File "/Applications/QGIS-LTR.app/Contents/MacOS/../Resources/python/plugins/processing/core/Processing.py", line 171, in runAlgorithm
                  raise QgsProcessingException(msg)
    

    Finally: The Processing panel shows this dialogue each time I try a query.

    Error: Algorithm qgis:checkvalidity not found

    I have made sure my language is american english and that the startup style of the app is Macintosh. If anyone could please please help me I would be so appreciative. This function is so important to the research I am doing for my senior thesis. Thank you so much for taking time to read this.

    opened by cecilia-hampton 1
  • Init create COCO

    Init create COCO

    @Youssef-Harby The function is implemented, please check and use it. If you can, it can be merged into develop. But at present, the cutting image is repeated and can be modified 😃

    opened by geoyee 1
  • Error running in QGIS

    Error running in QGIS

    Using on a tiff image with 4 bands RGB and alpha QGIS 3.22.4

    2022-03-10T15:24:22 WARNING Traceback (most recent call last): File "C:\Users/Chris/AppData/Roaming/QGIS/QGIS3\profiles\default/python/plugins\deep-learning-datasets-maker\split_rs_data.py", line 315, in run rasterize(ras_path, vec_path, output) File "C:\Users/Chris/AppData/Roaming/QGIS/QGIS3\profiles\default/python/plugins\deep-learning-datasets-maker\utils\rasterize.py", line 11, in rasterize lyr = vec_ds.GetLayer() AttributeError: 'NoneType' object has no attribute 'GetLayer'

    opened by Chris-Has 1
  • Couldn't load plugin 'deep-learning-datasets-maker' due to an error when calling its classFactory() method

    Couldn't load plugin 'deep-learning-datasets-maker' due to an error when calling its classFactory() method

    Couldn't load plugin 'deep-learning-datasets-maker' due to an error when calling its classFactory() method

    subprocess.CalledProcessError: Command '['python3', '-m', 'pip', 'install', 'Cython', 'scikit-image', 'Pillow', 'pycocotools']' returned non-zero exit status 1. Traceback (most recent call last): File "C:/Users/pprt/AppData/Roaming/QGIS/QGIS3\profiles\default/python/plugins\deep-learning-datasets-maker\utils\COCO\pycococreatortools\pycococreatortools.py", line 10, in from pycocotools import mask File "C:/PROGRA~1/QGIS3~1.4/apps/qgis-ltr/./python\qgis\utils.py", line 685, in _import mod = _builtin_import(name, globals, locals, fromlist, level) ModuleNotFoundError: No module named 'pycocotools'

    During handling of the above exception, another exception occurred:

    Traceback (most recent call last): File "C:/PROGRA~1/QGIS3~1.4/apps/qgis-ltr/./python\qgis\utils.py", line 335, in startPlugin plugins[packageName] = package.classFactory(iface) File "C:/Users/pprt/AppData/Roaming/QGIS/QGIS3\profiles\default/python/plugins\deep-learning-datasets-maker_init_.py", line 35, in classFactory from .split_rs_data import SplitRSData File "C:/PROGRA~1/QGIS3~1.4/apps/qgis-ltr/./python\qgis\utils.py", line 685, in _import mod = _builtin_import(name, globals, locals, fromlist, level) File "C:/Users/pprt/AppData/Roaming/QGIS/QGIS3\profiles\default/python/plugins\deep-learning-datasets-maker\split_rs_data.py", line 46, in from .utils.COCO import clip_from_file, slice, from_mask_to_coco File "C:/PROGRA~1/QGIS3~1.4/apps/qgis-ltr/./python\qgis\utils.py", line 685, in _import mod = builtin_import(name, globals, locals, fromlist, level) File "C:/Users/pprt/AppData/Roaming/QGIS/QGIS3\profiles\default/python/plugins\deep-learning-datasets-maker\utils\COCO_init.py", line 1, in from .shape_to_coco import clip_from_file, slice, from_mask_to_coco File "C:/PROGRA~1/QGIS3~1.4/apps/qgis-ltr/./python\qgis\utils.py", line 685, in _import mod = _builtin_import(name, globals, locals, fromlist, level) File "C:/Users/pprt/AppData/Roaming/QGIS/QGIS3\profiles\default/python/plugins\deep-learning-datasets-maker\utils\COCO\shape_to_coco.py", line 16, in from .pycococreatortools import * File "C:/PROGRA~1/QGIS3~1.4/apps/qgis-ltr/./python\qgis\utils.py", line 685, in _import mod = builtin_import(name, globals, locals, fromlist, level) File "C:/Users/pprt/AppData/Roaming/QGIS/QGIS3\profiles\default/python/plugins\deep-learning-datasets-maker\utils\COCO\pycococreatortools_init.py", line 1, in from .pycococreatortools import * File "C:/PROGRA~1/QGIS3~1.4/apps/qgis-ltr/./python\qgis\utils.py", line 685, in _import mod = _builtin_import(name, globals, locals, fromlist, level) File "C:/Users/pprt/AppData/Roaming/QGIS/QGIS3\profiles\default/python/plugins\deep-learning-datasets-maker\utils\COCO\pycococreatortools\pycococreatortools.py", line 16, in ["python3", '-m', 'pip', 'install', 'Cython', 'scikit-image', 'Pillow', 'pycocotools']) File "C:\PROGRA~1\QGIS3~1.4\apps\Python37\lib\subprocess.py", line 328, in check_call raise CalledProcessError(retcode, cmd) subprocess.CalledProcessError: Command '['python3', '-m', 'pip', 'install', 'Cython', 'scikit-image', 'Pillow', 'pycocotools']' returned non-zero exit status 1.

    Python version: 3.7.0 (v3.7.0:1bf9cc5093, Jun 27 2018, 04:59:51) [MSC v.1914 64 bit (AMD64)] QGIS version: 3.4.13-Madeira Madeira, 567300ccf1

    Python Path: C:/PROGRA~1/QGIS3~1.4/apps/qgis-ltr/./python C:/Users/pprt/AppData/Roaming/QGIS/QGIS3\profiles\default/python C:/Users/pprt/AppData/Roaming/QGIS/QGIS3\profiles\default/python/plugins C:/PROGRA~1/QGIS3~1.4/apps/qgis-ltr/./python/plugins C:\Users\pprt\matterport\models\research C:\Users\pprt\matterport\models\research\slim C:\Program Files\QGIS 3.4\bin\python37.zip C:\PROGRA~1\QGIS3~1.4\apps\Python37\DLLs C:\PROGRA~1\QGIS3~1.4\apps\Python37\lib C:\Program Files\QGIS 3.4\bin C:\Users\pprt\AppData\Roaming\Python\Python37\site-packages C:\Users\pprt\AppData\Roaming\Python\Python37\site-packages\tf_unet-0.1.2-py3.7.egg C:\PROGRA~1\QGIS3~1.4\apps\Python37 C:\PROGRA~1\QGIS3~1.4\apps\Python37\lib\site-packages C:\PROGRA~1\QGIS3~1.4\apps\Python37\lib\site-packages\win32 C:\PROGRA~1\QGIS3~1.4\apps\Python37\lib\site-packages\win32\lib C:\PROGRA~1\QGIS3~1.4\apps\Python37\lib\site-packages\Pythonwin C:/Users/pprt/AppData/Roaming/QGIS/QGIS3\profiles\default/python

    enhancement 
    opened by aldinorizaldy 3
  • An error occurred during execution of following code

    An error occurred during execution of following code

    An error occurred during execution of following code: pyplugin_installer.instance().installPlugin('deep-learning-datasets-maker', stable=False)

    Traceback (most recent call last): File "", line 1, in File "/usr/share/qgis/python/pyplugin_installer/installer.py", line 333, in installPlugin self.processDependencies(plugin["id"]) File "/usr/share/qgis/python/pyplugin_installer/installer.py", line 682, in processDependencies dlg = QgsPluginDependenciesDialog(plugin_id, to_install, to_upgrade, not_found) File "/usr/share/qgis/python/pyplugin_installer/qgsplugindependenciesdialog.py", line 92, in init _make_row(data, i, name) File "/usr/share/qgis/python/pyplugin_installer/qgsplugindependenciesdialog.py", line 63, in _make_row widget.use_stable_version = data['use_stable_version'] KeyError: 'use_stable_version'

    Python version: 3.8.10 (default, Nov 26 2021, 20:14:08) [GCC 9.3.0]

    QGIS version: 3.22.3-Białowieża 'Białowieża', 1628765ec7

    Python path: ['/usr/share/qgis/python', '/home/robotics/.local/share/QGIS/QGIS3/profiles/default/python', '/home/robotics/.local/share/QGIS/QGIS3/profiles/default/python/plugins', '/usr/share/qgis/python/plugins', '/usr/lib/python38.zip', '/usr/lib/python3.8', '/usr/lib/python3.8/lib-dynload', '/usr/local/lib/python3.8/dist-packages', '/usr/lib/python3/dist-packages', '/home/robotics/.local/share/QGIS/QGIS3/profiles/default/python', '/home/robotics/.local/share/QGIS/QGIS3/profiles/default/python/plugins/DeepLearningTools']

    bug 
    opened by makamkkumar 1
Releases(0.2.1)
Owner
deepbands
deepbands
A benchmark framework for Tensorflow

TensorFlow benchmarks This repository contains various TensorFlow benchmarks. Currently, it consists of two projects: PerfZero: A benchmark framework

1.1k Dec 30, 2022
TF Image Segmentation: Image Segmentation framework

TF Image Segmentation: Image Segmentation framework The aim of the TF Image Segmentation framework is to provide/provide a simplified way for: Convert

Daniil Pakhomov 546 Dec 17, 2022
YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931)

Introduction Yolov5-face is a real-time,high accuracy face detection. Performance Single Scale Inference on VGA resolution(max side is equal to 640 an

DeepCam Shenzhen 1.4k Jan 07, 2023
A benchmark dataset for mesh multi-label-classification based on cube engravings introduced in MeshCNN

Double Cube Engravings This script creates a dataset for multi-label mesh clasification, with an intentionally difficult setup for point cloud classif

Yotam Erel 1 Nov 30, 2021
Implementation supporting the ICCV 2017 paper "GANs for Biological Image Synthesis"

GANs for Biological Image Synthesis This codes implements the ICCV-2017 paper "GANs for Biological Image Synthesis". The paper and its supplementary m

Anton Osokin 95 Nov 25, 2022
Delving into Localization Errors for Monocular 3D Object Detection, CVPR'2021

Delving into Localization Errors for Monocular 3D Detection By Xinzhu Ma, Yinmin Zhang, Dan Xu, Dongzhan Zhou, Shuai Yi, Haojie Li, Wanli Ouyang. Intr

XINZHU.MA 124 Jan 04, 2023
EMNLP 2021: Single-dataset Experts for Multi-dataset Question-Answering

MADE (Multi-Adapter Dataset Experts) This repository contains the implementation of MADE (Multi-adapter dataset experts), which is described in the pa

Princeton Natural Language Processing 68 Jul 18, 2022
Script for getting information in discord

User-info.py Script for getting information in https://discord.com/ Instalação: apt-get update -y apt-get upgrade -y apt-get install git pkg install

Moleey 1 Dec 18, 2021
Convolutional 2D Knowledge Graph Embeddings resources

ConvE Convolutional 2D Knowledge Graph Embeddings resources. Paper: Convolutional 2D Knowledge Graph Embeddings Used in the paper, but do not use thes

Tim Dettmers 586 Dec 24, 2022
sktime companion package for deep learning based on TensorFlow

NOTE: sktime-dl is currently being updated to work correctly with sktime 0.6, and wwill be fully relaunched over the summer. The plan is Refactor and

sktime 573 Jan 05, 2023
Simple PyTorch hierarchical models.

A python package adding basic hierarchal networks in pytorch for classification tasks. It implements a simple hierarchal network structure based on feed-backward outputs.

Rajiv Sarvepalli 5 Mar 06, 2022
Experimental Python implementation of OpenVINO Inference Engine (very slow, limited functionality). All codes are written in Python. Easy to read and modify.

PyOpenVINO - An Experimental Python Implementation of OpenVINO Inference Engine (minimum-set) Description The PyOpenVINO is a spin-off product from my

Yasunori Shimura 7 Oct 31, 2022
A Python module for the generation and training of an entry-level feedforward neural network.

ff-neural-network A Python module for the generation and training of an entry-level feedforward neural network. This repository serves as a repurposin

Riadh 2 Jan 31, 2022
Python implementation of O-OFDMNet, a deep learning-based optical OFDM system,

O-OFDMNet This includes Python implementation of O-OFDMNet, a deep learning-based optical OFDM system, which uses neural networks for signal processin

Thien Luong 4 Sep 09, 2022
Robot Hacking Manual (RHM). From robotics to cybersecurity. Papers, notes and writeups from a journey into robot cybersecurity.

RHM: Robot Hacking Manual Download in PDF RHM v0.4 ┃ Read online The Robot Hacking Manual (RHM) is an introductory series about cybersecurity for robo

Víctor Mayoral Vilches 233 Dec 30, 2022
Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification

Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification

258 Dec 29, 2022
SOLOv2 on onnx & tensorRT

SOLOv2.tensorRT: NOTE: code based on WXinlong/SOLO add support to TensorRT inference onnxruntime tensorRT full_dims and dynamic shape postprocess with

47 Nov 26, 2022
Deploy optimized transformer based models on Nvidia Triton server

🤗 Hugging Face Transformer submillisecond inference 🤯 and deployment on Nvidia Triton server Yes, you can perfom inference with transformer based mo

Lefebvre Sarrut Services 1.2k Jan 05, 2023
Repo for the paper "DiLBERT: Cheap Embeddings for Disease Related Medical NLP"

DiLBERT Repo for the paper "DiLBERT: Cheap Embeddings for Disease Related Medical NLP" Pretrained Model The pretrained model presented in the paper is

Kevin Roitero 2 Dec 15, 2022
Official implementation of Influence-balanced Loss for Imbalanced Visual Classification in PyTorch.

Official implementation of Influence-balanced Loss for Imbalanced Visual Classification in PyTorch.

Seulki Park 70 Jan 03, 2023